babak taati thesis

Keywords: Face Tracking, Menpo, Active Appearance Models, OpenCV, Computer Vision, Health Monitoring Update (Jun '17): no longer open; Mar 2017 - Congratulations to my student Michael Li on a successful defense! (link to Michael's thesis); Mar 2017 - I now have a cross appointment (as an Assistant Professor) in the
(2013) and parts of this PhD thesis this week. Jan 27, 2015 - Mtg room 12.026 - TRI This week, Michael will explain UPDRS and UDYsRS and the different components in each rating score and will then review these two papers: Minimal clinically important change on the unified Parkinson's disease rating scale, by Schrag et
A thesis submitted in conformity with the requirements for the degree of Masters of Health ... I would also like to thank my committee members Dr. Heather Ross, Dr. Babak Taati and Dr. Douglas Lee for their ... thesis experience and other colleagues at Centre for Global eHealth Innovation, Plinio Morita,. Melanie Yeung, Lily
A major motivation for this thesis was: How can we make machine learning more accessible to assistive technology ... Some of the fundamental ideas introduced in this thesis were developed through discussion in Rich ... Jennifer Boger for her unwavering support and friendship and Babak Taati for being both a great friend
me throughout my thesis. I would also like to thank my supervisory committee, Dr. Heather Ross and Dr. Babak Taati, for their guidance and insights. I am immensely grateful to Mike Walker, the exercise physiologist who conducted all the cardiopulmonary studies and tirelessly answered my questions and offered help
22.03.2017 -
B Taati, M Bondy, P Jasiobedzki, M Greenspan. Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, 1-8, 2007. 39, 2007. 3D human motion analysis to detect abnormal events on stairs. GS Parra-Dominguez, B Taati, A Mihailidis. 3D Imaging, Modeling, Processing, Visualization and Transmission
Babak Taati joined IATSL in March 2009 and is currently involved with multiple projects related to computer vision, machine learning, and robotics. Prior to joining IATSL, Babak worked as Lead Computer Vision Scientist at Feeling Software (Montreal, Quebec) and on his Ph.D. thesis in the Robotics and Computer Vision
Dr. Taati's research focuses on the application of computer vision and machine learning techniques in solving real-world rehabilitation and assistive technology challenges and in health and safety monitoring. Examples include real-time upper-limb motion assessment during post-stroke rehabilitation therapy and the

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